Spss pasw statistics software version 22

Manufactured by IBM

Sourced in United States

SPSS-PASW statistics software version 22.0 is a comprehensive data analysis and statistical software package. It provides advanced analytical capabilities for data management, data mining, and predictive analytics.

Automatically generated - may contain errors

Lab products found in correlation

Spelling variants of this product

SPSS software version 22.0 (1867 citations) SPSS Statistics software (version (95 citations) SPSS Statistics software 22.0 (56 citations) PASW Statistics 22 (47 citations) SPSS Statistic software 22.0 (14 citations) PASW version 22.0 (7 citations) PASW SPSS Version 22.0 (4 citations) SPSS PASW Statistics 22.0 (3 citations) SPSS PASW Statistic 22.0 (3 citations) PASW Statistics software version 22.0 (2 citations)

2 protocols using spss pasw statistics software version 22

Comparative Analysis of Biochemical Markers

Check if the same lab product or an alternative is used in the 5 most similar protocols

All the data are expressed as mean ± standard deviation. All analyses were performed using SPSS-PASW statistics software version 22.0 (SPSS Inc., Chicago, IL, USA). The statistical significance was analyzed using a one-way analysis of variance (ANOVA) with Duncan’s multiple range post hoc test to determine significant differences (p < 0.05) between the groups.

Han J.H., Keum D.H., Hong S.J., Kim Y.J, & Han S.G. (2023). Comparative Evaluation of Polysaccharide Binders on the Quality Characteristics of Plant-Based Patties. Foods, 12(20), 3731.

+ Open protocol

+ Expand

Comparative Cytotoxicity Analysis of Novel Compounds

Check if the same lab product or an alternative is used in the 5 most similar protocols

All experiments were performed at least three times independently. The experimental data are represented as the mean ± the standard error of the mean (SEM) and were analyzed using the SPSS-PASW statistics software, version 22.0 (SPSS Inc., Chicago, IL, USA). A two-tailed Student’s t-test was used for two-group comparisons. A one-way analysis of variance with the post hoc Dunnett test and Duncan’s new multiple range test were used for three-group and multiple comparisons, respectively. Statistical significance was set at p < 0.05.

Kwon H.C., Jung H.S., Kim D.H., Han J.H, & Han S.G. (2024). The Role of Progesterone in Elf5 Activation and Milk Component Synthesis for Cell-Cultured Milk Production in MAC-T Cells. Animals : an Open Access Journal from MDPI, 14(4), 642.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!